Overview

We are seeking a Senior Agentic Automation Engineer to design and deliver advanced AI-driven automation solutions. In this role, you will architect multi-agent systems, engineer robust integrations and translate complex agent behavior into clear business value for customers and stakeholders.

Responsibilities:
  • Design multi-agent orchestration solutions including agent graphs, state management and agent-to-agent communication
  • Develop advanced prompt engineering approaches with structured outputs, function/tool calling and multi-step reasoning
  • Produce system/module designs, engineering diagrams and technical documentation
  • Propose multiple solution options with clear trade-off analysis and justified recommendations
  • Apply design patterns and explain non-functional requirements at the system level
  • Implement CI/CD pipeline design, distributed tracing, structured logging and dashboarding
  • Deploy containerized and serverless services with RESTful and event-driven API integration
  • Conduct unit, component, integration and end-to-end testing for AI-backed services
  • Lead and moderate project meetings and communicate directly with customers
  • Translate complex agent behavior into clear business language for non-technical stakeholders
  • Work independently while proactively identifying and resolving blockers
  • Onboard new platforms, tools and skills quickly and efficiently apply them in delivery
Required Qualifications:
  • 3+ years of experience in software engineering and AI automation
  • Understanding of LLM fundamentals including context windows, tokenization, attention and model limitations
  • Proficiency with at least two agent frameworks and advanced RAG
  • Proficiency in Python, JavaScript or C# or equivalent
  • Hands-on experience with at least two cloud AI platforms such as Azure AI Foundry, AWS Bedrock or Google Vertex AI
  • Familiarity with low code/no code AI workflow automation platforms
  • Skills in Docker, Kubernetes or serverless deployment
  • Proficiency with relational and vector databases
  • Knowledge of SOLID, DRY and KISS principles and code quality metrics
  • Experience with Scrum, Kanban or Waterfall and ability to describe trade-offs for a given project context
  • English proficiency B2 or higher
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning and Udemy
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Success story of convincing a customer to adopt a proposed technical solution
  • Experience in conducting internal and external trainings and tech talks
  • Troubleshooting success stories in complex AI/automation environments
  • Experience creating end-to-end automated acceptance tests
  • Agentic Automation Engineering
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